How to speed up the for loop by releasing memeory

Please read the posting guide. You need to provide reproducible code (please simplify, but make sure it illustrates your problem and runs) to communicate clearly what problem you are trying to solve.

Chances are good that you don't need any for loop at all, but without running code we can't tell.
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Dear list;

How can I speed up the run of following code (illustrative)
#========================================================================
con<-vector("numeric")

for (i in 1:limit)
{
if(matched data for the ith item found) {
           if(i==1) {con<-RowOfMatchedData } else
{con<-rbind(con,matchedData)}
                                                       }
}
#========================================================================

each RowOfMatchedData contains 105 variables, when "i" runs over 10^7
and the data container "con" get large enough, the codes get extremely
slow, I know this is a working memory problem (2GB only), is there
anyway to circumvent this problem without dicing and slicing the data.

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